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Learner personas for FAIR lesson #12

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ragamouf opened this issue Aug 27, 2020 · 7 comments
Open

Learner personas for FAIR lesson #12

ragamouf opened this issue Aug 27, 2020 · 7 comments

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@ragamouf
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Some of us teach postgraduate students and researchers, some of us teach librarians, some of us teach data stewards and people supporting research infrastructure.

We know that it's good to have a crossover audience who can inform each other, but without detailed knowledge of our different learner profiles, it's difficult to diagnose exactly the problems we want to fix.

Fleshing out learner personas will help us understand our target audience and better understand which activities are best going to suit them.

@jezcope
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jezcope commented Aug 27, 2020

There are some Library Carpentry learner profiles at https://pad.carpentries.org/lc-learner-profiles

@kmhettne
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Good that you mention Data Stewards, that would be a good one to add!

@jezcope
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jezcope commented Aug 27, 2020

I would be in favour of focusing on librarians, data stewards and other research supporters first, as that would be consistent with Library Carpentry's core audience. There would certainly be an argument for producing a sibling lesson for Data Carpentry with more of a researcher focus.

@vdda
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vdda commented Aug 27, 2020

It depends on the entry barrier. If it is basic knowledge it can be used for broad audiences

@ragamouf
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I gather that in one of the zoom handover calls there was discussion about using the instructor notes to direct people wanting to teach this lesson. FAIR tends to bring a few different stakeholders together:

  • Researchers and data stewards who want to learn and practice good (FAIR) methods from now: "What can I do now so I can benefit from FAIR data in the future?"
  • Librarians who are responsible for training students and researchers in FAIR methods: "What are the best ways to teach FAIR which make it easier to do?"
  • Research support / repository people who want to know what will improve their infrastructure to encourage FAIR data: "What should we expect from our tools and infrastructure which will support and enable FAIR data?"

@reblake
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reblake commented Aug 28, 2020

+1 for the three profiles outlined by @ragamouf . I would just suggest an edit to the researcher/data steward one... What can I do now to make my data FAIR?

@libcce
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libcce commented Aug 29, 2020

Also agree w/ @ragamouf's list 😃 Where would the profiles live? Could be a new learner profiles .md file in the .extras folder/menu?

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